Recognizing Human-Object Using Genetic Algorithm for Face Detection in Natural Driving Environment

Mallikarjuna, Basetty; Ramanaiah, K. Venkata; Mohanaiah, P.; Reddy, V. Vijaya Kumar

doi:10.26634/jse.7.2.2039

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Book4

Article1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Facial Recognition Approach: As per the Trend of 2022–23 Using Python

Mallikarjuna,

Uniyal,

Jain

et al. 2023

Algorithms for Intelligent Systems

View full text Add to dashboard Cite

Facial Recognition Approach: As per the Trend of 2022–23 Using Python

Mallikarjuna,

Uniyal,

Jain

et al. 2023

Algorithms for Intelligent Systems

View full text Add to dashboard Cite

An Improved Model for House Price/Land Price Prediction using Deep Learning

Mallikarjuna

Ram

Addanke

et al. 2022

Advances in Wireless Technologies and Telecommunication

View full text Add to dashboard Cite

House price predictions are a crucial reflection of the economy; sometimes house prices include the land prices and demand of the place and location. The house price and land price are two different things, but both are important for both buyers and sellers. This chapter introduced the combination of ML and DL approaches to predict the house price with the updated regression algorithm. The algorithm named as ‘Mopuri algorithm' reads the 14 attributes like crime rate, population density, rooms, etc. and produces the cost estimation result as a prediction. The proposed model accurately estimates the worth of the house as per the given features. The results of the model tested with the different datasets existing in the Kaggle data source using Python libraries with the Jupyter platform and continuation of the model using the Android OS to develop the smart home web-based application.

show abstract

An Effective Video Surveillance System by using CNN for COVID-19

Mallikarjuna

Anusha

Ram

et al. 2022

Advances in Wireless Technologies and Telecommunication

View full text Add to dashboard Cite

An effective video surveillance system is a challenging task in the COVID-19 pandemic. Building a model proper way of wearing a mask and maintaining the social distance minimum six feet or one or two meters by using CNN approach in the COVID-19 pandemic, the video surveillance system works with the help of TensorFlow, Keras, Pandas, which are libraries used in Python programming scripting language used in the concepts of deep learning technology. The proposed model improved the CNN approach in the area of deep learning and named as the Ram-Laxman algorithm. The proposed model proved to build the optimized approach, the convolutional layers grouped as ‘Ram', and fully connected layers grouped as ‘Laxman'. The proposed system results convey that the Ram-Laxman model is easy to implement in the CCTV footage.

show abstract

Recognizing Human-Object Using Genetic Algorithm for Face Detection in Natural Driving Environment

Cited by 5 publications

References 6 publications

Facial Recognition Approach: As per the Trend of 2022–23 Using Python

Facial Recognition Approach: As per the Trend of 2022–23 Using Python

An Improved Model for House Price/Land Price Prediction using Deep Learning

An Effective Video Surveillance System by using CNN for COVID-19

Contact Info

Product

Resources

About